Pixoneye

Pixoneye uses image understanding technologies to create analytical capabilities of mobile users for predictive personalization needs.

  • Stage Prototype Ready
  • Industry Digital Marketing
  • Location London, United Kingdom
  • Currency GBP
  • Founded January 2015
  • Employees 7
  • Incorporation Type Other
  • Website pixoneye.com

Company Summary

Pixoneye developed a technological process backed by strong IP that allows any marketer access into the best set of data regarding his/her mobile audience.

We developed an SDK that can be implemented on any host app, all we need from the app is access to photos/media/files - which most if not all apps require today. Our SDK then teaches the users' device how to scan its own personal photo gallery meaning that at no time do we see the photos or move them to an external server. Once the users device scans the photos it condenses the data and extracts it from the device and onto our servers. This data is abstract and combines both meta data such as Geo-location (where the photo was taken) together with image analysis of the photo itself.
This data is then analyzed and sent to the marketer in real time:
This process allows for
1. access to an agile and dynamic marketing insight tool that evolves with every new photo the user takes.
2. Allowing us to run data sets of new customers against those of existing ones in order to predict the new users interaction with specific content
3. And finally, we are able to offer a full data analysis of users without relying on conventional means of aggregation like surveys, questionnaires or lead generators (DMPs).

Team

  • 37 years old, with over 10 years' experience in R&D management and Real Time algorithm development in the field of computer vision and machine learning. Previously: lead researcher at Eyesight® Head of research at Samsung® semiconductor in the field of computer vision. Wrote the facial recognition algorithm for Samsung. M.Sc. In EE from TAU.

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